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Soft Robotics: Academic Insights and Perspectives Through Bibliometric Analysis

Soft robotics is of growing interest in the robot community as well as in public media, and there is an increase in the quality and quantity of publications related to this topic. To formally elaborate this growth, we have used a bibliometric analysis to evaluate the publications in the field from 1...

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Detalles Bibliográficos
Autores principales: Bao, Guanjun, Fang, Hui, Chen, Lingfeng, Wan, Yuehua, Xu, Fang, Yang, Qinghua, Zhang, Libin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mary Ann Liebert, Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5995266/
https://www.ncbi.nlm.nih.gov/pubmed/29782219
http://dx.doi.org/10.1089/soro.2017.0135
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author Bao, Guanjun
Fang, Hui
Chen, Lingfeng
Wan, Yuehua
Xu, Fang
Yang, Qinghua
Zhang, Libin
author_facet Bao, Guanjun
Fang, Hui
Chen, Lingfeng
Wan, Yuehua
Xu, Fang
Yang, Qinghua
Zhang, Libin
author_sort Bao, Guanjun
collection PubMed
description Soft robotics is of growing interest in the robot community as well as in public media, and there is an increase in the quality and quantity of publications related to this topic. To formally elaborate this growth, we have used a bibliometric analysis to evaluate the publications in the field from 1990 to 2017 based on the Science Citation Index Expanded database. We present a detailed overview and discussion based on keywords, citation, h-index, year, journal, institution, country, author, and review articles. The results show that the United States takes the leading position in this research field, followed by China and Italy. Harvard University has the most publications, high average number of citations per publication and the highest h-index. IEEE Transactions on Robotics ranks first among the top 20 academic journals publishing articles related to this field, whereas Soft Robotics holds the top position in journals categorized with “ROBOTICS.” Actuator, fabrication, control, material, sensing, simulation, bionics, stiffness, modeling, power, motion, and application are the hot topics of soft robotics. Smart materials, bionics, morphological computation, and embodiment control are expected to contribute to this field in the future. Application and commercialization appear to be the initial driving force and final goal for soft robots.
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spelling pubmed-59952662018-06-12 Soft Robotics: Academic Insights and Perspectives Through Bibliometric Analysis Bao, Guanjun Fang, Hui Chen, Lingfeng Wan, Yuehua Xu, Fang Yang, Qinghua Zhang, Libin Soft Robot Invited Review Soft robotics is of growing interest in the robot community as well as in public media, and there is an increase in the quality and quantity of publications related to this topic. To formally elaborate this growth, we have used a bibliometric analysis to evaluate the publications in the field from 1990 to 2017 based on the Science Citation Index Expanded database. We present a detailed overview and discussion based on keywords, citation, h-index, year, journal, institution, country, author, and review articles. The results show that the United States takes the leading position in this research field, followed by China and Italy. Harvard University has the most publications, high average number of citations per publication and the highest h-index. IEEE Transactions on Robotics ranks first among the top 20 academic journals publishing articles related to this field, whereas Soft Robotics holds the top position in journals categorized with “ROBOTICS.” Actuator, fabrication, control, material, sensing, simulation, bionics, stiffness, modeling, power, motion, and application are the hot topics of soft robotics. Smart materials, bionics, morphological computation, and embodiment control are expected to contribute to this field in the future. Application and commercialization appear to be the initial driving force and final goal for soft robots. Mary Ann Liebert, Inc. 2018-06-01 2018-06-01 /pmc/articles/PMC5995266/ /pubmed/29782219 http://dx.doi.org/10.1089/soro.2017.0135 Text en © Guanjun Bao et al. 2018; Published by Mary Ann Liebert, Inc. This Open Access article is distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Invited Review
Bao, Guanjun
Fang, Hui
Chen, Lingfeng
Wan, Yuehua
Xu, Fang
Yang, Qinghua
Zhang, Libin
Soft Robotics: Academic Insights and Perspectives Through Bibliometric Analysis
title Soft Robotics: Academic Insights and Perspectives Through Bibliometric Analysis
title_full Soft Robotics: Academic Insights and Perspectives Through Bibliometric Analysis
title_fullStr Soft Robotics: Academic Insights and Perspectives Through Bibliometric Analysis
title_full_unstemmed Soft Robotics: Academic Insights and Perspectives Through Bibliometric Analysis
title_short Soft Robotics: Academic Insights and Perspectives Through Bibliometric Analysis
title_sort soft robotics: academic insights and perspectives through bibliometric analysis
topic Invited Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5995266/
https://www.ncbi.nlm.nih.gov/pubmed/29782219
http://dx.doi.org/10.1089/soro.2017.0135
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